39 results about "Dynamic software" patented technology

The invention belongs to the technical field of vibration control, and provides a fluid-structure interaction numerical calculation method for controlling flutter of a large-span bridge by a submerged heaving plate, which is based on computational fluid dynamics software Fluent, utilizes a dynamic grid technology, compiles a UDF secondary development program and embeds the UDF secondary development program into a solver for calculation. The method comprises the following steps: establishing a motion control equation of a rigid main beam-sling-underwater heaving plate coupling system in a wind field, embedding a system motion solving process into Fluent software by utilizing a user-defined function, and realizing system fluid-solid coupling solving by adopting a mode of alternately solving a rigid main beam and a wind field computational domain and simultaneously solving a heaving plate and a water body computational domain. And vertical and torsional motion responses of the controlled main beam are obtained. Compared with a physical experiment, rich information such as movement time history data of the main beam, the heaving plate and a nearby flow field under the condition of various sizes can be conveniently and safely obtained, vibration suppression mechanism analysis can be conveniently carried out, and the research difficulty, cost and risk are greatly reduced.

Disclosed herein are embodiments of methods, devices and systems for device fingerprinting and automatic and dynamic software deployment to one or more endpoints on a computer network. The device fingerprinting systems and devices herein are configured to operate with limited data without sitting between network devices and the internet, without monitoring all network traffic, and without limited or no active scanning. The embodiments herein may passively collect information as distributed peers and may perform very limited active scans. In some embodiments, the information is used as an input to a custom hierarchical learning model to fingerprint devices on a network by identifying attributes of the devices such as the operating system family, operating system version, and device role. In some embodiments, a dynamic deployer selection process may be utilized to simply and efficiently deploy software. Some embodiments herein involve end-to-end encryption of credentials in a deployment process.

The invention relates to the technical field of numerical control planer mills, in particular to a dynamic thermal error compensation method and system for a double-moving-column numerical control planer miller, and the system comprises a plurality of temperature sensors which are distributed in a key heat sensitive area of a machine tool, and a laser range finder and an encoder which are used for monitoring the displacement of key parts. Synchronously collecting temperature data and displacement data of the machine tool in real time; according to the thermal error monitoring method and the thermal error monitoring system, through multi-sensor data fusion and Kalman filtering denoising, the reliability and the signal-to-noise ratio of thermal error monitoring data are remarkably improved; a nonlinear mapping relation between a temperature field and complex machine tool deformation can be accurately described by utilizing a thermal error prediction model, the problem that compensation is not timely due to temperature lag in a traditional method is fundamentally solved, a tool path is corrected in real time through a numerical control system, online and dynamic software compensation is achieved, and the real-time compensation precision is improved. Therefore, the machining precision and the consistency of the workpiece are greatly improved.

The invention discloses a stratospheric airship structure optimization design method and a stratospheric airship structure optimization design system based on joint simulation, and aims to solve the problems of long design period, low efficiency and the like caused by consideration of optimal aerodynamic performance due to size or volume limitation in existing airship design. According to the method, the shape of a capsule body is set through Python with a Bezier curve method, the shape of an empennage is set through parameterized design, constraint conditions are output, and three-dimensional CAD software is driven to automatically generate an airship shape model; computational fluid dynamics software is used for completing pneumatic simulation and exporting a report, after Python format conversion, engineering simulation optimization software is imported to build an optimization platform, optimization design is carried out with optimal pneumatic performance as a target in combination with constraint conditions, and finally, optimal structure parameters are verified and output. According to the method, full-process automation from parametric modeling, pneumatic simulation to optimization verification is achieved, the design period is shortened, the efficiency and precision of stratospheric airship structure optimization are improved, and it is ensured that a shape scheme with the optimal pneumatic performance is obtained.

The invention belongs to the technical field of bridge wind vibration control, and discloses a fluid-solid coupling numerical calculation method for studying the control of a friction energy consumption device on the flutter of a large-span bridge, which comprises the following steps: compiling a user-defined function secondary development program by using a dynamic grid technology based on computational fluid dynamics software Fluent, and embedding the program into a solver for calculation. And a motion equation of a rigid main beam-friction energy consumption device coupling system in the wind field is established, fluid-solid coupling solving is achieved in the mode that rigid main beam motion and flow field motion are alternately solved, and vertical and torsional motion responses of the controlled main beam are obtained. Compared with a wind tunnel test method, the method has the advantages that various parameters and stress modes of the rigid main beam and the friction energy consumption device can be accurately set, full-scale simulation can be realized, rich information such as movement time history data of the main beam and a nearby flow field under various parameter conditions can be conveniently and safely obtained, vibration suppression mechanism analysis can be conveniently carried out, and the method is suitable for popularization and application. And the research difficulty, cost and risk are greatly reduced.

This invention provides a hybrid solution method for computational fluid dynamics software structural solvers. The method first determines whether some model equations employ a loosely coupled approach, specifying that the number of conserved quantities equals the number of tightly coupled conserved quantities. Then, it iteratively solves the problem block by block, successively solving both tightly coupled and loosely coupled equation sets. Finally, it merges the loosely coupled and tightly coupled conserved quantities until all grid blocks have been iteratively solved. This method simultaneously implements both tightly coupled and loosely coupled architectures within a single data structure, enabling the software to simultaneously achieve high solution accuracy, high efficiency, and scalability.

The invention provides a universal test platform for a GNC (Global Navigation Control) system of a multi-cabin spacecraft, which relates to spacecraft GNC data processing and comprises an application software module suitable for the multi-cabin spacecraft, a dynamics software module, a component interface simulation module, an injection management module and an operation monitoring module, wherein the application software module is used for carrying out universal modification on satellite application software so as to enable the satellite application software to carry out data communication with other modules; the dynamics software module is used for updating state information according to the control instruction; the component interface simulation module is used for performing data communication between the application software module and the dynamics software module; the injection management module is used for controlling the general test platform to complete a simulation test according to the test instruction; the operation monitoring module is used for monitoring telemetry data output by the application software module and the dynamics software module. According to the scheme, the problems of long time consumption and low efficiency of simulation verification of the multi-cabin spacecraft by a traditional hardware platform can be solved.

The application relates to a numerical prediction method for the flow dynamics characteristics of coarse particle solid-liquid two-phase flow in a vertical lifting pipeline, and belongs to the technical field of numerical prediction of flow dynamics characteristics. In order to solve the problem that the influence of particle movement on the surrounding fluid is not considered in the current theoretical calculation and numerical simulation of the solid-liquid two-phase flow in the pipeline, the application firstly models and divides the grid of the fluid domain; a particle model is established based on a particle material simulation software, and the particles are controlled in a discrete manner; then, a coupling interface is established based on a computational fluid dynamics software through a coupling interface control equation; the computational fluid dynamics software calculates and monitors the state of the fluid, which is transported to the particle material simulation software as the external environment of the particles; the interference caused by the movement of the particles is also transmitted to the computational fluid dynamics software through the coupling interface; and the numerical prediction of the flow dynamics characteristics of the coarse particle solid-liquid two-phase flow is realized based on the initialized coupling interface, the pipeline model and the particle model.

The application discloses a kind of engine cooling fan assembly strength calculation method based on one-way fluid-solid coupling, comprising: the geometric model of cooling fan assembly is established;Utilize the finite element model of cooling fan assembly and external flow field generated by mesh division software;In structural analysis software, respectively, to cooling fan and fan support plate is endowed with material mechanics characteristics, and boundary condition is set;In computational fluid dynamics software, set the turbulence model and boundary condition of external flow field;Blade surface is set as fluid-solid coupling surface, first solve flow field using computational fluid dynamics software, pass blade surface pressure in calculation result to finite element software by interpolation, and finite element software is used as boundary condition to simulate and analyze the structural strength of cooling fan assembly, and obtain cooling fan assembly strength.The application improves the accuracy of the model and ensures the calculation efficiency by taking the aerodynamic pressure load on the blade as the boundary condition when predicting the structural strength of the cooling fan.

A semi-physical simulation test platform of a vertical take-off and landing single aircraft comprises an aircraft semi-physical set system, ground test equipment and a tool set system. The aircraft semi-physical set system comprises a power part serving as a physical part, a physical sensor, a control mechanism, test equipment, an onboard computer, flight control software loaded and operated on the onboard computer, and a power simulator, a control simulator and a sensor simulator loaded and operated on the onboard computer or a ground computer. The ground test equipment comprises a test controller and simulation dynamics software loaded and operated on a ground computer; the tool set system is used for connecting the platform with an external test device and comprises an onboard tool, a ground tool and a tool connecting piece, the onboard tool is used for fixing the aircraft semi-physical set system, the ground tool is used for fixing ground test equipment, and the tool connecting piece is used for movably and detachably connecting the onboard tool and the ground tool. When the platform is used for testing, the cost can be effectively reduced, and the aircraft iteration period is accelerated.

This invention discloses a dynamic vibration reduction control method. The method involves acquiring parameter combination data of the vibration reduction equipment and inputting it into computational fluid dynamics software for calculation, outputting combined data of the results. Using the combined data of the results as independent variables and the expected loss as the dependent variable, a deep neural network is used for training to obtain a vibration loss function. An optimization algorithm is used to obtain parameter combination data with the minimum expected loss, and then an optimal vibration reduction control strategy function is constructed. The difference between the expected loss and the minimum expected loss is calculated to obtain the expected benefit. The work required to overcome external forces when the appendage switches from normal operating conditions to optimal control conditions is obtained to obtain the control cost function. An exhaustive search or swarm intelligence method is used to obtain the combination that maximizes the comprehensive evaluation function. The optimal comprehensive control strategy function under different flow velocities is obtained. The optimal comprehensive control strategy function is deployed to the controller of the vibration reduction equipment, and the relative position of the appendage is dynamically adjusted according to the measured different inflow velocities.

The invention discloses a software quality dynamic measurement and uncertainty quantification method based on a Bayesian-KAN-ODE series architecture, and belongs to the technical field of software quality metrics, and the method comprises the following steps: carrying out dimensionless processing on a quality index of software to be evaluated, and determining an initial weight; inputting the processed data into a Kolmogorov-Arnold network, extracting quality features by using a learnable spline function of the Kolmogorov-Arnold network, and deducing the uncertainty of a quantization parameter based on variation; inputting the initial weight and the extracted features into an ordinary differential equation model, and solving an ordinary differential equation to realize continuous time dynamic evolution of the weight; and finally, constructing a series architecture, and generating software quality prediction distribution containing a prediction mean value and a confidence interval through Monte Carlo sampling. According to the method, the defects of a traditional method in coping with parameter uncertainty, time evolution uncertainty and a complex nonlinear relation are overcome, and the dynamic property, robustness and interpretability of measurement are improved.

This invention discloses a method for uniformly adjusting the axial air pressure distribution of a vacuum adsorption roller. First, a digital model of the vacuum adsorption roller is accurately constructed using reverse modeling technology combined with 3D modeling software. Then, this model is imported into CFD mesh generation software for fluid domain extraction and mesh division. After refining the mesh in key areas, environmental parameters are configured in computational fluid dynamics software. Next, the boundary conditions of the inlet and outlet under actual working conditions are set. The internal air pressure distribution is obtained through numerical simulation calculation. The simulation results are analyzed to identify the air pressure distribution areas. Based on the analysis results, the area and layout of the air inlets in each axial region are adjusted to balance the air intake and ensure uniform air pressure distribution. Finally, the effectiveness of the adjustment scheme is verified in an actual production environment, and the size and layout of the air inlets are optimized based on measured data until the predetermined air pressure uniformity standard is achieved. This method achieves precise control and optimization of the axial air pressure distribution of the vacuum adsorption roller.

A general-purpose modular dynamics simulation system comprises a kernel layer, a protocol layer, and a hardware layer. The kernel layer includes: a dynamics calculation module, an environment simulation module, a sensor simulation module, an actuator simulation module, and a kernel layer configuration module. The protocol layer includes: a sensor interface module, an actuator interface module, and a protocol layer configuration module. The hardware layer includes: a hardware board driver module and a hardware layer configuration module. This invention solves problems in current ground testing systems such as severe software-hardware coupling, the need to redevelop dynamics software for different satellite models, and difficulties in changing satellite model parameters and component product parameters by employing a hierarchical design approach for ground dynamics software through three-layer decoupling, modular encapsulation design, configuration via configuration files, and parameter modification via host computer commands. This improves the versatility and convenience of dynamics software development and has significant application and promotion value.

The application belongs to the technical field of vibration control, and provides a fluid-structure coupling numerical calculation method for controlling large-span bridge flutter by using a water immersed heaving plate. The method is based on computational fluid dynamics software Fluent, uses dynamic mesh technology, and compiles a UDF secondary development program to embed the solver for calculation. The motion control equation of the rigid main beam-cable-water heaving plate coupling system in the wind field is established, the user-defined function is used to embed the system motion solving process into the Fluent software, the fluid-structure coupling solving of the system is realized by adopting the alternating solving of the rigid main beam and the wind field calculation domain and the simultaneous solving of the heaving plate and the water body calculation domain, and the vertical and torsional motion responses of the controlled main beam are obtained. Compared with physical experiments, the motion time history data of the main beam, the heaving plate and the nearby flow field under various size conditions and other rich information can be conveniently and safely obtained, the vibration suppression mechanism analysis is facilitated, and the research difficulty, cost and risk are greatly reduced.

The invention relates to the field of artificial intelligence application, and provides a software dynamic interface generation method and system based on a neural network, and the method comprises the steps: firstly obtaining a natural language high-level description inputted by a user, and then carrying out the intention semantic analysis of the natural language high-level description to generate a software dynamic interface design intention representation vector; and then decoding the intention representation vector to obtain a structured U I layout description, further analyzing the structured U I layout description into a U I component tree data structure, and finally completing interface rendering based on the component tree data structure to generate a software dynamic interface. In this way, automatic conversion from natural language input of the user to dynamic interface generation can be achieved, and accurate matching between interface design and user requirements can be effectively ensured.

The invention provides a meta-universe application starting method and device, equipment, a storage medium and a program product, and belongs to the technical field of meta-universe, the method is applied to a user terminal provided with a meta-universe application, and the method comprises the steps that in the initialization loading process of a capacity component of a 3D space of the meta-universe application, data is analyzed in real time based on the software and hardware environment of the user terminal, and the capacity component of the 3D space of the meta-universe application is obtained; determining an optimal configuration scheme of the 3D space; configuring a service quality parameter of the 3D space based on a configuration operation of a user about the application optimization configuration scheme; and under the condition that initialization loading of the audio and video room and the instant messaging room of the meta-universe application is completed in the 3D space, the meta-universe application is started. According to the method, when the meta-universe application is started every time, the optimal configuration scheme is automatically determined based on real-time analysis data of dynamic software and hardware environments of the user terminal in the initialization loading process of the 3D space capability component, and accurate, automatic and self-adaptive real-time adjustment of meta-universe application starting configuration is achieved to the maximum extent.

The invention provides an automatic operation method and system for interface-free industrial software, and the method comprises the steps: obtaining screenshots of all interfaces of the industrial software, storing the screenshots in folders named by corresponding types according to the types of all the interfaces, training the stored screenshot samples based on a neural network model, recognizing the interface types and interface functions, and completing the operation of the interface-free industrial software. Identifying a current operation interface according to the neural network model, loading an interface template image set corresponding to the current operation interface, selecting a matching result with the highest confidence coefficient as an interface template by adopting a template matching algorithm, and determining the position of an operation target of the current operation interface according to the interface template, automatically operating the current operation interface according to the position of the operation target; the page type and the page function are recognized through the neural network model, the software dynamic interface is recognized in real time, the operation target is positioned according to the corresponding interface template, and automatic operation of the interface-free industrial software can be rapidly and accurately achieved.

The invention relates to the field of reactor core physical calculation, in particular to a reactor core physical optimization calculation method under a nuclear power unit bias operation condition, and the method comprises the following steps: 1, constructing a geometric model and a reactor core grid model of a reactor in fluid dynamics software; 2, establishing a porous medium model in fluid dynamics software; 3, setting boundary conditions in the hydrodynamic software and carrying out thermal hydraulic calculation; 4, constructing a thermotechnical and physical coupling interface, taking a thermotechnical calculation result of the hydrodynamic software as input, and carrying out physical calculation in physical calculation software; 5, taking the three-dimensional power distribution of the physical calculation software as fluid dynamics software input, and carrying out thermal hydraulic calculation to obtain an optimized fuel assembly upper power peak factor and an optimized fuel assembly volume power peak factor; and 6, repeating the steps 3-5 until the power peak factor converges. According to the method, the physical parameters of the reactor core under the bias ring operation condition are calculated, and the control capability of safe operation of the reactor is further improved.

MACHINE LEARNING COMPUTER DEVICE FOR PREDICTIVE ANALYTICS AND DYNAMIC SOFTWARE OPTIMIZATION

The invention relates to the technical field of mechanical analysis, and provides a dynamic modeling and analysis method for a segment erector, which comprises the following steps: constructing a three-dimensional model based on the overall structure of the segment erector; carrying out finite element processing on the three-dimensional model and carrying out modal analysis and deformation analysis; importing the three-dimensional model into multi-body dynamics software, and constructing a rigid-flexible coupling model of the segment erector; constructing a mass balance equation and a dynamic balance equation of the segment erector; and calculating the displacement and speed of nodes in the rigid-flexible coupling model according to the kinetic equation and the dynamic balance equation, and performing kinetic analysis on the rigid-flexible coupling model according to the calculation result. According to the method, the working state of the segment erector can be deeply known, and powerful support can be provided for design optimization, fault diagnosis and service life prediction of equipment.

This invention relates to an efficient dynamic loading method for software based on an embedded platform, belonging to the field of embedded operating systems. The invention parses the target files of embedded software to obtain their respective symbol table information; identifies dynamic symbols in the application target files; relocates the symbols in the application target files, converting dynamic addresses to static addresses relative to the system target files; merges the symbol table of the system target files with the symbol tables of all loaded application target files, and stores this data in a linked list structure on the host computer. This invention reduces the dynamic loading work performed on resource-constrained lower-level machines, shortening the processing time and performance overhead of dynamic loading on the lower-level machine.

The invention discloses a dynamic modeling and fault simulation method for an RV reducer with a rolling bearing, and belongs to the technical field of mechanical transmission. According to the method, complete three-dimensional modeling and assembling are carried out on all parts in the RV reducer, a tapered roller bearing, an angular contact ball bearing, a needle bearing and other full-class rolling bearings are introduced, and based on Adams multi-body dynamics software, a high-precision dynamics simulation model is established by adopting an IMPACT contact model and a friction model; verifying the working frequency of the model through theoretical calculation, test bed vibration signal acquisition and spectral analysis; on the basis, the difference between the bearing and the traditional model neglecting the bearing is compared, analyzed and considered, and the influence of different types of bearings on the output rotating speed, the gear meshing force and the transmission error is further studied. Meanwhile, a pitting corrosion defect is introduced into the tooth surface of the gear, a gear pitting corrosion fault model is constructed, and simulation and experimental verification of the fault characteristic frequency of the RV reducer are achieved. According to the method, the actual running state of the RV speed reducer can be reflected more truly, the dynamics simulation precision is improved, and an effective technical means is provided for structural design, performance evaluation and fault diagnosis of the RV speed reducer.

The present application discloses a method and device for dividing a basin into blocks and meshes, which relates to the technical field of aircraft design. The method includes: constructing a complete solid model according to design requirements; wherein, the complete solid model includes a gap basin solid model, an aircraft aerodynamic shape solid model and an outer basin solid model; setting surface mesh division parameters, and performing surface mesh division on the complete solid model based on the surface mesh division parameters to obtain a surface mesh model; setting a boundary layer in the outer basin of the surface mesh model, setting the division parameters of the inner mesh of the boundary layer to perform volume mesh division, and generating a volume mesh model; importing the volume mesh model into fluid dynamics software, setting basin connectivity and flow conditions to perform simulation, and obtaining an aerodynamic data set. The problem that the division of unstructured meshes in the prior art has high requirements for the experience of technicians and easily leads to completely untrustworthy calculation results is solved. The accuracy and reliability of aerodynamic calculation results can be improved.

The invention discloses a self-adaptive ammonia spraying device for flue gas denitrification, relates to the technical field of flue gas denitrification environmental protection, and is used for improving the denitrification efficiency. In the device, a cooperative control framework of static hardware matching and dynamic software adjustment is constructed by the flue gas denitration self-adaptive ammonia spraying device, so that complex online mechanical adjustment is converted into external fluid control, and the problems of jamming and abrasion in a high-temperature and high-dust environment are solved by utilizing a fixed gap unit without a movable component; therefore, the long-term operation reliability of the flue gas denitration self-adaptive ammonia spraying device is improved. And meanwhile, by combining the fusion calculation of the AI model on the multi-source data and a double-level intelligent diagnosis early warning mechanism, the dual self-adaption of the ammonia spraying strategy on the space non-uniformity and the time change is realized, so that the denitration efficiency is improved on the premise of improving the stability of the flue gas denitration self-adaptive ammonia spraying device.

This invention belongs to the field of deep-sea mining, specifically relating to a method for designing track parameters for a tracked vehicle used for collecting manganese nodules on the seabed. The method for designing track parameters for a tracked vehicle used for collecting manganese nodules on the seabed comprises the following steps: (1) Constructing a deep-sea seabed sediment creep model under the driving action of the deep-sea mining vehicle; (2) Deriving the formula for calculating the driving resistance of the deep-sea mining vehicle; (3) Performing secondary development and modeling based on the seabed creep model and driving resistance using multibody dynamics software; (4) Data interaction between the improved PSO algorithm based on Python and the multibody dynamics software; (5) Dynamically changing the search interval based on the current iteration number of the improved PSO algorithm; (6) Reaching the maximum iteration number and outputting the parameters. This invention comprehensively considers the rheological characteristics of the soft seabed sediment and the driving performance of the mining vehicle, and combines the improved multi-objective PSO algorithm to provide optimal values ​​for track parameters based on the subsidence amount and traction force of the mining tracked vehicle. It is expected to achieve good results in the design of track parameters for mining tracked vehicles in different sea areas.

The present application belongs to the technical field of bridge wind vibration control, and discloses a kind of fluid-structure coupling numerical calculation method for studying friction energy dissipation device control large-span bridge flutter, based on computational fluid dynamics software Fluent, secondary development program is embedded in solver calculation using dynamic mesh technology compiling user-defined function.The motion equation of the rigid main beam-friction energy dissipation device coupling system in the wind field is established, and the fluid-structure coupling solution is realized by adopting the alternating solution mode of rigid main beam motion and flow field motion, to obtain the vertical and torsional motion response of the controlled main beam.Compared with the wind tunnel test method, the present application can accurately set various parameters and stress modes of the rigid main beam and the friction energy dissipation device, and can realize full-scale simulation, to conveniently and safely obtain rich information such as motion time history data of the main beam and the flow field near the main beam under various parameter conditions, facilitate the analysis of vibration suppression mechanism, and greatly reduce the research difficulty, cost and risk.

The application provides a channel flow inversion method and relates to the technical field of hydrology, water resources and hydraulic engineering, and the method comprises the following steps: debugging a calculation case by using a computational fluid dynamics software OpenFOAM; using a script to batch copy and modify the calculated case river channel parameters; calling the computational fluid dynamics software OpenFOAM in a script mode to batch solve all the calculation cases and calculate simulation structure construction datasets; constructing a deep learning model based on the datasets; training the deep learning model; reading the cross-section time-averaged flow velocity distribution from a flow velocity distribution cloud picture and using the trained deep learning model to invert the channel flow. The application solves the problems of low precision, high cost and limited application scope of the existing open channel flow measurement method, and realizes rapid and accurate measurement of the open channel flow.